搜索资源列表
annealing
- 关于模拟退火算法的一个很好的程序,对初学者来说很好-this is a book about annealing.it is very important fou the beginner .
SimulatedAnnealingAlgorithm
- 本程序介绍了模拟退火算法的运用,特别是在TSP旅行商问题上的运用,是一个特别好的算法实例,功能齐全,算法优良。-It s about the Simulated Annealing Algorithm base on TSP.It s a useful Algorithm.
simulated_annealing_method
- 实现了用模拟退火法求解大规模优化问题的通用解法-Implementation using the simulated annealing method to solve the common problem of large-scale optimization solution
TSP
- 这是一个人工智能方面的算法程序,里面包含模拟退火算法、神经网络算法以及遗传算法三个。-This is an area of artificial intelligence algorithm procedure, which includes simulated annealing algorithm, neural network algorithms and genetic algorithms in three.
Optimizers
- 一系列好用的用户友好的启发式优化算法,包括非自适应算法,基于模拟退火算法的种群算法,基本遗传算法,差分进化算法以及粒子群优化算法。此外,也包括神圣算法,它利用了所有这些优化算子,虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
117143157monituihuo
- 从国外专业网站下载的非常不错的模拟退火算法-this file is very good
Matlab
- 模拟退火算法实现、主成分分析实现及线性回归分析等-Simulated annealing algorithm implementation, implementation of principal component analysis and linear regression analysis
0-1-knapsack-problem
- 模拟退火解决0-1背包问题,初学者可以借鉴-Simulated annealing to solve 0-1 knapsack problem, beginners can learn from
sa
- 用C语言写的人工智能算法中的模拟退火算法-Simulated annealing algorithm
Opt_Sim
- matlab 模拟退火经典程序,简单但实用,能很好的理解模拟退,里面还有一个无约束优化的例子-matlab classical simulated annealing procedure, a simple but practical, a good understanding of simulation can retire, which have an example of unconstrained optimization
SimulatedAnnealing
- 用模拟退火算法解决TSP问题,在C运行环境中-TSP with ant colony algorithm to solve the problem in the C runtime environment
TSPSAwithmatlab
- TSP 问题模拟退火算法的matlab示例-TSP simulated annealing algorithm matlab example
anneal
- 解决基于模拟退火算法的源代码,还有详细的源程序及解释-Based on simulated annealing algorithm to solve the source code, as well as a detailed explanation of the source and
moyituhuo
- 模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制
simulatetemperature
- 模拟退火程序,可以进行各种目标函数下的地球物理非线性反演。-simulate aneal pragram
Simulatedannealing
- 模拟退火算法来源于固体退火原理,将固体加温至充分高,再让其徐徐冷却,加温时,固体内部粒子随温升变为无序状,内能增大,而徐徐冷却时粒子渐趋有序,在每个温度都达到平衡态,最后在常温时达到基态,内能减为最小。 模拟退火算法能使问题解达到全局最优,这个程序用C#实现,简单易懂,能抓住该算法的精髓。-Simulated annealing algorithm derived from the principle of solid annealing, heating the solid to the
ModernAlgorithmCosole
- 多进程实现现代优化算法包括采用SSS的局部搜索、禁忌搜索算法和模拟退火算法的控制台-a console platform for modern optimization algorithm such as sss based local search taboo search and simulated annealing algorithm and so on
tuihuosuanfa
- 神经网络(应用模拟退火算法求函数极值问题)-Neural network (the application of simulated annealing algorithm for function extremum problems)
tsp
- 利用模拟退火算法解决旅行商问题,共二十个城市,选择最优路径-The use of simulated annealing algorithm to solve traveling salesman problem
TSP
- 免疫算法和模拟退火算法求解TSP问题的研究。本文提出了一种新的免疫模拟退火法,并将其应用于求解典型的NP问题—TSP问题-Immune algorithm and simulated annealing algorithm for solving TSP problems. In this paper, a new immune simulated annealing algorithm, and applies it to solve the issue of a typical NP pro